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Associations between basic physiological observations recorded pre-thrombectomy and functional outcome: a systematic

Hannah A Lumley1, Lisa Shaw1, Julia Morris1

  • 1Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.

Frontiers in Stroke
|January 16, 2026
PubMed
Summary

Higher blood glucose, systolic blood pressure, and atrial fibrillation predict poorer outcomes in acute large vessel occlusion stroke patients undergoing mechanical thrombectomy. These physiological markers can aid in early triage decisions.

Keywords:
modified Rankinoutcomephysiological observationsprognosisthrombectomy

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Area of Science:

  • Neurology
  • Cardiology
  • Emergency Medicine

Background:

  • Mechanical thrombectomy improves outcomes for acute large vessel occlusion (LVO) stroke.
  • Predictors of thrombectomy success include clinical factors and baseline physiological observations.
  • Routine emergency assessment data may inform triage decisions if linked to post-thrombectomy outcomes.

Purpose of the Study:

  • To conduct a meta-analysis of pre-thrombectomy physiological observations and functional outcomes.
  • To identify routinely available clinical data that predict mechanical thrombectomy success.

Main Methods:

  • Meta-analysis following PRISMA guidelines.
  • Searched Medline, PubMed, Cochrane HTA, Cochrane Central, and Embase for relevant studies (2004-2023).
  • Assessed risk of bias using the Quality in Prognostic Studies (QUIPS) tool and analyzed data using RevMan 5.

Main Results:

  • Higher blood glucose (continuous and categorical), higher systolic blood pressure (SBP), and atrial fibrillation were associated with unfavorable outcomes.
  • Lower Glasgow Coma Scale scores also correlated with unfavorable outcomes.
  • No significant association was found between diastolic blood pressure (DBP) and outcome.

Conclusions:

  • Basic physiological observations can aid in early triage for thrombectomy patients.
  • These predictors may help avoid futile treatments and unnecessary transfers.
  • Further research is needed to establish optimal prognostic factor combinations for clinical decision-making.